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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 9014
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    Explanations

    mentions of the word "Re" followed by a number denoting a specific entry or item

    oai_token-act-pair · gpt-3.5-turbo

    repetitive or prominent occurrences of the word "Re"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GEAR
    -0.74
    ãģĨ
    -0.65
    BuyableInstoreAndOnline
    -0.63
     à¨
    -0.62
     Pebble
    -0.62
     handwriting
    -0.61
     Anchorage
    -0.61
     Andersen
    -0.57
    NESS
    -0.57
     Sammy
    -0.57
    POSITIVE LOGITS
    becca
    1.32
    levant
    1.31
    asons
    1.22
    asonable
    1.20
    ceived
    1.18
    ggie
    1.17
    venge
    1.15
    verend
    1.14
    ceive
    1.12
    ceiver
    1.11
    Activations Density 0.023%

    No Known Activations